Raffaella Piccarreta

I am an Associate Professor of Statistics at Bocconi University, Milan. I hold a PhD in Statistics from the University of Trento.

I am a fellow of Dondena (Centre for Research on Social Dynamics and Public Policy), of BIDSA (Bocconi Institute for Data Science and Analytics) and of the CovidCrisis Lab (Laboratory for Coronavirus Crisis Research).

I am member of the SAA (Sequence Analysis Association), and one of the members of the Executive Committee of SAA.

Associate Professor
Download the cv (181.41 KB)
Research interests

My work focuses on data analysis. Most of my research relates to the study of life course trajectories and events. I have a specific interest for Sequence Analysis, a technique aimed at identifying patterns in categorical longitudinal data, as well as for all the approaches to deal with this type of data.

Being very keen to cooperation, I coauthored a number of paper focused on different data. In particular, in 2020/2021 I worked on data on COVID-19.

I love coding, and on my Github page (https://github.com/raffaellapiccarreta) I upload some codes (not too many because I am very slow) related to my research and to my teaching activity. In particular, at the moment you find there the beta version of the package UBStats that I developed (together with Sergio Venturini) to simplify the application of basic stats using R/RStudio...  

Selected Publications
Trentini, Filippo; Marziano, Valentina; Guzzetta, Giorgio; Tirani, Marcello; Cereda, Danilo; Poletti, Piero; Piccarreta, Raffaella; Barone, Antonio; Preziosi, Giuseppe; Arduini, Fabio; Della Valle, Petra Giulia; Zanella, Alberto; Grosso, Francesca; Del Castillo, Gabriele; Castrofino, Ambra; Grasselli, Giacomo; Melegaro, Alessia; Piatti, Alessandra; Andreassi, Aida; Gramegna, Maria; Ajelli, Marco; Merler, Stefano

Pressure on the health-care system and intensive care utilization during the COVID-19 outbreak in the Lombardy region of Italy: a retrospective observational study in 43.538 hospitalized patients

AMERICAN JOURNAL OF EPIDEMIOLOGY, 2022
Teaching
20354
STATISTICS AND DATA ANALYSIS - PREPARATORY COURSE
20570
DATA ANALYTICS AND VISUALIZATION
40998
APPLIED MULTIVARIATE ANALYSIS
20678
STATISTICS - ON-LINE PREPARATORY COURSE
30001
STATISTICS
Past teaching

For many years I taught Statistics in undergraduate programs. I also taught courses on coding, computational statistics, time series analysis, and sample design. 

I have been teaching the course on Data Analytics and Visualisation at EMIT MSc and before at CLEMIT since the beginning. I also teach one Phd course on Applied Data Analysis.

Since the a.y. 2022/2023 I am  the responsible of the course on Statistics (Undergraduate school, CLEAM, CLEF, BIEM, BIEF)

Menu
Research interestsSelected PublicationsTeaching